How to google R stuff {https://t.co/N5dRU6dKbs} #rstats #DataScience
— R-bloggers (@Rbloggers) December 16, 2021
How to Make R Markdown Snow {https://t.co/pEnNhlgcrK} #rstats #DataScience
— R-bloggers (@Rbloggers) December 11, 2021
How to Split data into train and test in R {https://t.co/F5aocJDk33} #rstats #DataScience
— R-bloggers (@Rbloggers) December 14, 2021
Top 21 #RStats tweets of 2021 {https://t.co/PyixIOB2Bw} #rstats #DataScience
— R-bloggers (@Rbloggers) December 13, 2021
Analysing seed germination and emergence data with R: a tutorial. Part 4 {https://t.co/FJ1afG0Hnl} #rstats #DataScience
— R-bloggers (@Rbloggers) December 13, 2021
Top 7 Skills to Get Hired in Data Science in 2022 {https://t.co/cGRnCyNdSX} #rstats #DataScience
— R-bloggers (@Rbloggers) December 13, 2021
How to Calculate the Standard Error of the Mean in R {https://t.co/2Icgx72KyG} #rstats #DataScience
— R-bloggers (@Rbloggers) December 15, 2021
How to Generate Kernel Density Plots in R {https://t.co/eiflTsqBbW} #rstats #DataScience
— R-bloggers (@Rbloggers) December 15, 2021
Aesthetics must be either length 1 or the same as the data {https://t.co/OsJH9wGKne} #rstats #DataScience
— R-bloggers (@Rbloggers) December 16, 2021
GooglyPlusPlus2021: Towards more picturesque analytics! {https://t.co/9FefNH9EQK} #rstats #DataScience
— R-bloggers (@Rbloggers) December 14, 2021
An easy to convert list to long table {https://t.co/zdloxTs6JS} #rstats #DataScience
— R-bloggers (@Rbloggers) December 12, 2021
How Many Shiny Apps Can You Host for Free? {https://t.co/lyysMigp46} #rstats #DataScience
— R-bloggers (@Rbloggers) December 16, 2021
MANOVA(Multivariate Analysis of Variance) using R {https://t.co/nae2wc4h04} #rstats #DataScience
— R-bloggers (@Rbloggers) November 23, 2021
How to Build Interactive Google Maps With R Shiny – A Complete Guide {https://t.co/3GTNDbCwEg} #rstats #DataScience
— R-bloggers (@Rbloggers) November 23, 2021
How to go from R to nice tables in Microsoft Word {https://t.co/56kqx2sTrE} #rstats #DataScience
— R-bloggers (@Rbloggers) November 24, 2021
Cluster analysis using R {https://t.co/l3pWgoJ8Rn} #rstats #DataScience
— R-bloggers (@Rbloggers) November 17, 2021
My Courses are now Free {https://t.co/22fMz1NNDA} #rstats #DataScience
— R-bloggers (@Rbloggers) December 3, 2021
Publication-ready tables with flextable and own theme in R {https://t.co/yMkLazl4fC} #rstats #DataScience
— R-bloggers (@Rbloggers) November 26, 2021
R Shiny Apps in 100 Seconds {https://t.co/ytJjXmLdA6} #rstats #DataScience
— R-bloggers (@Rbloggers) November 18, 2021
Detecting topics in mails, tweets, etc.: How to create a text classification algorithm in R {https://t.co/nwz6Iu5hDa} #rstats #DataScience
— R-bloggers (@Rbloggers) November 29, 2021
Principal Component Analysis: a brief intro for biologists {https://t.co/tsQxOZEGgT} #rstats #DataScience
— R-bloggers (@Rbloggers) November 24, 2021
What statistical test should I do? {https://t.co/wR0oXOVXgN} #rstats #DataScience
— R-bloggers (@Rbloggers) December 2, 2021
9 new books added to Big Book of R {https://t.co/zT84wY8Cwb} #rstats #DataScience
— R-bloggers (@Rbloggers) December 6, 2021
Creating your google chat R bot in under 5 minutes {https://t.co/u2Z3tVGbpF} #rstats #DataScience
— R-bloggers (@Rbloggers) November 25, 2021
Application of Bayes Theorem in R {https://t.co/ufygfKCdVq} #rstats #DataScience
— R-bloggers (@Rbloggers) November 21, 2021
---
title: "RBloggers Top Tweets"
output:
flexdashboard::flex_dashboard:
vertical_layout: scroll
source_code: embed
theme:
version: 4
bootswatch: yeti
css: styles/main.css
---
```{r setup, include=FALSE}
library(flexdashboard)
library(dplyr)
library(httr)
library(lubridate)
library(jsonlite)
library(purrr)
rbloggers <- fromJSON("data/rbloggers.json")
get_tweet_embed <- function(user, status_id) {
url <-
stringr::str_glue(
"https://publish.twitter.com/oembed?url=https://twitter.com/{user}/status/{status_id}&partner=&hide_thread=false"
)
response <- GET(url) %>%
content()
return(shiny::HTML(response$html))
}
```
Column {.tabset .tabset-fade}
-----------------------------------------------------------------------
### Top Tweets - 7 days {.tweet-wall}
```{r}
rblog_7 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 7, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_7_html <-
map2_chr(rblog_7$screen_name, rblog_7$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_7_html}"))
```
### Top Tweets - 30 days {.tweet-wall}
```{r}
rblog_30 <- rbloggers %>%
mutate(created_at = as_date(created_at)) %>%
filter(created_at %within% interval(start = today() - 30, end = today())) %>%
slice_max(favorite_count + retweet_count, n = 12)
rblog_30_html <-
map2_chr(rblog_30$screen_name, rblog_30$status_id, get_tweet_embed)
shiny::HTML(stringr::str_glue("{rblog_30_html}"))
```